AI Solutions Apprentice

We are looking for a curious, driven individual with a background in Computer Science or Computing to join us as our Applied AI Apprentice. This is a rare opportunity to work directly with the leadership team on real-world AI projects that shape how we operate and deliver value to our clients.

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

• Designing, building, and deploying AI-powered tools and automations to improve recruitment workflows across the group
• Experimenting with large language models (LLMs), APIs, and emerging AI platforms to solve real business challenges
• Developing internal dashboards, data pipelines, and reporting tools to support commercial decision-making
• Researching and evaluating new AI technologies, tools, and vendors relevant to talent acquisition and professional services
• Collaborating with consultants, managers, and clients to understand pain points and translate them into technical solutions
• Supporting data quality, CRM optimisation, and systems integration projects across the business
• Contributing to the company’s broader technology strategy and AI roadmap

What We’re Looking For:

• A qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline
• A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries
• Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly
• Strong analytical thinking and problem-solving ability
• Excellent communication skills - the ability to explain technical concepts to non-technical stakeholders
• A self-starter mentality: proactive, resourceful, and comfortable working with ambiguity
• An interest in the commercial application of technology, not just the theory

What We Offer:

• Direct exposure to the CEO and senior leadership team - you will have visibility and influence that is impossible at larger organisations
• A funded apprenticeship with structured learning and professional development
• The chance to work across multiple brands and markets, gaining breadth of experience
• A genuine say in how AI is adopted and implemented across a growing international business
• A collaborative, high-energy office culture in central Bristol
• The opportunity to shape a role that could grow into a permanent position based on performance and impact

Benefits:

• 3-months fully paid sabbatical after 5-years’ service
• 29+ days holidays (increases to 32 with tenure) + all bank holidays
• +2 days per year incentive paid days off if no sick leave is taken within a 6-month period
• Hussle + membership: offering free, flexible, discounted, and unlimited access to thousands of leading UK gyms, pools and spas.
• Annual Profit Share bonus
• £25 salon treatments every 6-weeks

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

JUST IT TRAINING LIMITED

Training course

Artificial intelligence (AI) and automation practitioner (level 4)

What you'll learn

Course contents

• Review, establish, follow and or amend policies and procedures on data and information security.
• Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
• Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
• Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
• Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
• Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
• Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
• Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
• Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
• Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
• Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
• Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
• Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
• Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
• Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
• Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
• Contribute to sustainable and efficient AI and automation solutions.
• Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
• Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
• Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
• Undertake data analysis, preparation, and conversion to support automation solutions.
• Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
• Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
• Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
• Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
• Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
• Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
• Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
• Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
• Review, establish, follow and or amend policies and procedures on data and information security.
• Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
• Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
• Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
• Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
• Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
• Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
• Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
• Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
• Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
• Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
• Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
• Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
• Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
• Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
• Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
• Contribute to sustainable and efficient AI and automation solutions.
• Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
• Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
• Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
• Undertake data analysis, preparation, and conversion to support automation solutions.
• Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
• Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts